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» Combining Simple Models to Approximate Complex Dynamics
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ISOLA
2010
Springer
14 years 8 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
LREC
2010
203views Education» more  LREC 2010»
14 years 11 months ago
MPC: A Multi-Party Chat Corpus for Modeling Social Phenomena in Discourse
In this paper, we describe our experience with collecting and creating an annotated corpus of multi-party online conversations in a chat-room environment. This effort is part of a...
Samira Shaikh, Tomek Strzalkowski, Aaron Broadwell...
EMO
2006
Springer
120views Optimization» more  EMO 2006»
14 years 12 months ago
Rule Induction for Classification Using Multi-objective Genetic Programming
Multi-objective metaheuristics have previously been applied to partial classification, where the objective is to produce simple, easy to understand rules that describe subsets of a...
Alan P. Reynolds, Beatriz de la Iglesia
APSEC
2003
IEEE
15 years 1 months ago
Rigorous EBNF-based Definition for a Graphic Modeling Language
Today, the syntax of visual specification languages such as UML is typically defined using meta-modelling techniques. However, this kind of syntax definition has drawbacks. In par...
Yong Xia, Martin Glinz
BMCBI
2007
136views more  BMCBI 2007»
14 years 10 months ago
Reduced modeling of signal transduction - a modular approach
Background: Combinatorial complexity is a challenging problem in detailed and mechanistic mathematical modeling of signal transduction. This subject has been discussed intensively...
Markus Koschorreck, Holger Conzelmann, Sybille Ebe...